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Innovative integration of severe weather forecasts into an extended arrival manager

Nöhren, Lennard und Temme, Marco-Michael und Gluchshenko, Olga und Muth, Kathleen und Temme, Annette und Kerschbaum, Markus und Parodi, Antonio und Mazzarella, Vincenzo und Milelli, Massimo und Lagasio, Martina und Poletti, Laura und Realini, Eugenio und Esbri, Laura und Llasat, Maria del Carmen und Rigo, Tomeu und Federico, Stefano und Torcasio, Claudia und Biondi, Riccardo (2022) Innovative integration of severe weather forecasts into an extended arrival manager. In: 12th EASN International Conference on "Innovation in Aviation & Space for opening New Horizons". 12th EASN International Conference on "Innovation in Aviation & Space for opening New Horizons", 2022-10-18 - 2022-10-21, Barcelona, Spain.

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Kurzfassung

The impact of extreme weather on air traffic is a global challenge that results in varying delays to flights depending on climate zone, traffic, and available infrastructure. Due to an observed increase in severe weather events, this impact on air traffic is expected to grow in intensity in the coming years, making it increasingly important to organize airspaces safely and efficiently even under severe weather conditions. In the EU H2020 project "Satellite-borne and INsitu Observations to Predict The Initiation of Convection for ATM" (SINOPTICA), three new meteorological forecasting techniques - PhaSt, RaNDeVIL and WRF-RUC - were developed and tested to better nowcast severe weather events affecting tactical air traffic management operations. The nowcasts are used to organize the approaching traffic by an Extended Arrival Manager (E-AMAN) generating 4D trajectories to efficient detour around severe weather areas in the vicinity of airports. For this purpose, short-range severe weather forecasts with very high spatial resolution were elaborated starting from radar images, through an application of nowcasting techniques combined with Numerical Weather Prediction (NWP) models and data assimilation. This compact nowcast information were integrated into an E-AMAN to support Air Traffic Controllers (ATCO) when sequencing and guiding approaching aircraft even in adverse weather situations. The combination of fast and reliable weather nowcasts with a guidance-support system enables on the one hand the 4D trajectory calculation for diversion coordination around severe weather areas, and on the other hand the visualization of dynamic weather information on the radar displays of controllers. A previous evaluation of the concept by ATCOs showed that the presentation of meteorological information must be compact and concise to not interfere with relevant traffic information on the display. Two severe weather events impacting different Italian airports were selected for validation of the E-AMAN. Combining the Vertical Integrated Liquid and the Echo Top Maximum products, hazard thresholds were defined for domains around the airports. The Weather Research and Forecasting model has been used to simulate the formation and development of the aforementioned convective events. In order to produce a more accurate very short-term weather forecast (nowcasting), remote sensing data (e.g. radar, GNSS) and conventional observations were assimilated by using a cycling three-dimensional variational technique. The validation of E-AMAN system in SINOPTICA project focused on the aspects of feasibility and efficiency and contained two phases. In the first phase, recorded weather data and realistic air traffic were combined and run in a traffic simulation, where the E-AMAN has to organize and to plan the aircraft depending on the measured and forecasted weather. For the evaluation, flight time, track miles and fuel consumption estimation KPIs were applied. In the second phase, various E-AMAN simulation runs were demonstrated to an international controller team for evaluation. The predictions of the three considered forecast models were surprisingly heterogeneous for the same period and area, so that a comparative statement regarding the support quality of the considered E-AMAN within the project is only possible to a limited extent. However, it is indicated that an E-AMAN is very helpful if there is a possibility for large-scale fly-around planning. For this purpose, longer-term and highly precise forecasts that are precisely tailored to Air Traffic Control requirements are essential. The forecast model must correspond to the safety perception of the air traffic controllers and pilots on site, so that they can manage the traffic as efficiently and safely as possible. However, with the help of sophisticated nowcast models and the E-AMAN, SINOPTICA was able to show that it is possible to support controllers and pilots in challenging meteorological situations to guide air traffic safely and efficiently, and thus to make planning more reliable and predictable for all stakeholders on ground and in the air. This contribution presents an overview of the final results of the SINOPTICA project.

elib-URL des Eintrags:https://elib.dlr.de/190795/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Innovative integration of severe weather forecasts into an extended arrival manager
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Nöhren, LennardLennard.Noehren (at) dlr.dehttps://orcid.org/0009-0000-3832-7963NICHT SPEZIFIZIERT
Temme, Marco-MichaelMarco.Temme (at) dlr.dehttps://orcid.org/0000-0003-2446-5489NICHT SPEZIFIZIERT
Gluchshenko, OlgaOlga.Gluchshenko (at) dlr.dehttps://orcid.org/0000-0003-2189-1319NICHT SPEZIFIZIERT
Muth, KathleenKathleen.Muth (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Temme, AnnetteAnnette.Temme (at) dlr.dehttps://orcid.org/0000-0001-8245-3473NICHT SPEZIFIZIERT
Kerschbaum, MarkusAustro Control GmbH, Wien, AustriaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Parodi, AntonioCIMA Research Foundation, Savona, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Mazzarella, VincenzoCIMA Research Foundation, Savona, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Milelli, MassimoCIMA Research Foundation, Savona, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Lagasio, MartinaCIMA Research Foundation, Savona, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Poletti, LauraCIMA Research Foundation, Savona, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Realini, EugenioGEOMATICS RESEARCH & DEVELOPMENT SRL, Como, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Esbri, LauraDepartment of Applied Physics, Universitat de Barcelona, SpainNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Llasat, Maria del CarmenDepartment of Applied Physics, Universitat de Barcelona, SpainNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Rigo, TomeuMeteorological Service of Catalonia, SpainNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Federico, StefanoIstituto di Scienze dell’Atmosfera e del Clima - C.N.R. (ISAC)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Torcasio, ClaudiaIstituto di Scienze dell’Atmosfera e del Clima - C.N.R. (ISAC)NICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Biondi, RiccardoGeosciences Department, University of Padua, Padua, ItalyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:18 Oktober 2022
Erschienen in:12th EASN International Conference on "Innovation in Aviation & Space for opening New Horizons"
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:ATC; ATM; flight weather; forecast; AMAN; air traffic controller support
Veranstaltungstitel:12th EASN International Conference on "Innovation in Aviation & Space for opening New Horizons"
Veranstaltungsort:Barcelona, Spain
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:18 Oktober 2022
Veranstaltungsende:21 Oktober 2022
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehr und Auswirkungen
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AI - Luftverkehr und Auswirkungen
DLR - Teilgebiet (Projekt, Vorhaben):L - Integrierte Flugführung
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Lotsenassistenz
Institut für Flugführung > Pilotenassistenz
Hinterlegt von: Temme, Dr.rer.nat. Marco-Michael
Hinterlegt am:28 Nov 2022 08:46
Letzte Änderung:24 Apr 2024 20:52

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